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Combining COSMO-SkyMed satellites data and numerical modeling for the dynamic management of artificial recharge basins
Journal of Hydrology ( IF 6.4 ) Pub Date : 2018-12-01 , DOI: 10.1016/j.jhydrol.2018.09.067
Marco Masetti , Simone Pettinato , Son V. Nghiem , Simonetta Paloscia , Daniele Pedretti , Emanuele Santi

Abstract Many urbanized areas in the world are using artificial recharge basins (ARB) as an efficient solution to maintain adequate groundwater recharge while coping with flooding problems. The effective management of these basins to adequately maintain their functionality over mid-to-long term requires a suitable monitoring network. Here, we explored the use of a temporal satellite analysis to closely evaluate the efficiency of the ARB in terms of infiltration capacity, depending on hydraulic conditions of the topsoil transitioning from unclogged to clogged conditions in the ARB. COSMO-SkyMed synthetic aperture radar (SAR) images were integrated with ground data and numerical modeling to advance the capability for monitoring low water levels and flooded areas within the ARB. The understanding of biofilm development and effects was achieved by identifying anomalous drawdown phases, by constraining ponding boundary conditions in the numerical model, and by estimating subsequent infiltration rate changes under progressive clogging. With appropriate meteorological conditions (consecutive rainfall events separated by few dry days), the biofilm could develop rapidly and cover large surfaces (e.g., 22 ha) in about two months. During this process, the hydraulic conductivity of the basin surface could decrease by more than three orders of magnitude, completely altering the relationship with the local groundwater regime. Quantitative estimation of the evolution of the infiltration rate provides crucial insights about the overall recharge behavior of ARBs to make reliable economical plans in both the design and monitoring phase.

中文翻译:

结合 COSMO-SkyMed 卫星数据和数值模拟人工补给盆地的动态管理

摘要 世界上许多城市化地区正在使用人工补给盆地 (ARB) 作为保持充足地下水补给同时应对洪水问题的有效解决方案。对这些流域进行有效管理以在中长期内充分维持其功能需要合适的监测网络。在这里,我们探索了使用时间卫星分析来密切评估 ARB 在渗透能力方面的效率,这取决于 ARB 中表土从未堵塞状态过渡到堵塞状态的水力条件。COSMO-SkyMed 合成孔径雷达 (SAR) 图像与地面数据和数值建模相结合,以提高监测 ARB 内低水位和淹没区域的能力。通过识别异常压降阶段、限制数值模型中的蓄水边界条件以及估计逐渐堵塞下的后续渗透率变化,可以了解生物膜的发展和影响。在适当的气象条件下(连续降雨事件相隔几天干旱),生物膜可以迅速发展并在大约两个月内覆盖大面积(例如 22 公顷)。在此过程中,盆地表面的水力传导率可能下降三个数量级以上,完全改变了与当地地下水状况的关系。对渗透率演变的定量估计提供了关于 ARB 整体补给行为的重要见解,以便在设计和监测阶段制定可靠的经济计划。
更新日期:2018-12-01
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